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作物学报 ›› 2018, Vol. 44 ›› Issue (05): 686-696.doi: 10.3724/SP.J.1006.2018.00686

• 作物遗传育种·种质资源·分子遗传学 • 上一篇    下一篇

基于名优谷子品种晋谷21全基因组重测序的分子标记开发

赵庆英1,**, 张瑞娟2,**, 王瑞良2, 高建华2,3, 韩渊怀3,4, 杨致荣1,3,4,*(), 王兴春2,3,4,*()   

  1. 1 山西农业大学文理学院, 山西太谷 030801
    2山西农业大学生命科学学院, 山西太谷 030801
    3山西农业大学农业生物工程研究所, 山西太谷 030801
    4杂粮种质资源发掘与遗传改良山西省重点实验室, 山西太谷 030801
  • 收稿日期:2017-09-11 接受日期:2018-01-08 出版日期:2018-05-20 网络出版日期:2018-01-29
  • 通讯作者: 赵庆英,张瑞娟,杨致荣,王兴春
  • 作者简介:

    第一作者联系方式: E-mail: 192015271@qq.com

  • 基金资助:
    本研究由国家自然科学基金项目(31471502, 31600289, 31371693, 31771810), 山西省自然科学基金项目(201601D011071), 山西省回国留学人员科研资助项目(2015-067)和山西省留学回国人员科技活动择优资助项目(2014-11)资助

Genome-wide Identification of Molecular Markers Based on Genomic Re-sequencing of Foxtail Millet Elite Cultivar Jingu 21

Qing-Ying ZHAO1,**, Rui-Juan ZHANG2,**, Rui-Liang WANG2, Jian-Hua GAO2,3, Yuan-Huai HAN3,4, Zhi-Rong YANG1,3,4,*(), Xing-Chun WANG2,3,4,*()   

  1. 1 College of Arts and Sciences, Shanxi Agricultural University, Taigu 030801, Shanxi, China
    2 College of Life Sciences, Shanxi Agricultural University, Taigu 030801, Shanxi, China
    3 Institute of Agricultural Bioengineering, Shanxi Agricultural University, Taigu 030801, Shanxi, China
    4 Shanxi Key Laboratory of Genetic Resources and Genetic Improvement of Minor Crops, Taigu 030801, Shanxi, China
  • Received:2017-09-11 Accepted:2018-01-08 Published:2018-05-20 Published online:2018-01-29
  • Contact: Qing-Ying ZHAO,Rui-Juan ZHANG,Zhi-Rong YANG,Xing-Chun WANG
  • Supported by:
    This study was supported by the National Natural Science Foundation of China (31471502, 31600289, 31371693, 31771810), the Natural Science Foundation of Shanxi Province (201601D011071), the Research Project from Shanxi Scholarship Council of China (2015-067) and the Fund Program for the Scientific Activities of Selected Returned Overseas Professionals in Shanxi Province (2014-11).

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摘要：

小米因其营养丰富日益受到重视, 而小米的品质是民众选择小米时最为关注的指标。晋谷21米质优异, 但由于缺少基因组信息, 严重阻碍了其优异米质形成机制的研究。本研究利用高通量测序技术, 对晋谷21全基因组进行重测序, 获得了14.95 Gb高质量测序数据。进一步将其与豫谷1号参考基因组比较, 发掘了169 037个InDel位点和1 167 555个SNP位点, 其中长度在13~50 bp之间适于琼脂糖凝胶电泳检测的InDel位点为14 578个。选择其中1个SNP位点和68个InDel位点验证, 表明利用二代测序技术开发的InDel和SNP标记真实可靠。基于名优谷子晋谷21重测序数据开发的InDel和SNP分子标记具有通用性, 可用于其他谷子、狗尾草和谷莠子等种质资源的相关研究。同时, 开发了一个晋谷21特异的InDel标记2G5501976, 利用该标记即可快速鉴定待测材料是否为晋谷21及其衍生品种。本研究初步揭示了晋谷21的基因组特征, 不仅为深入解析其优异米质形成的分子机制奠定了基础, 而且为相关分子标记辅助育种、遗传分析和基因克隆提供了分子标记资源。

关键词: 谷子, 晋谷21, InDel, SNP, 分子标记, 基因组重测序

Abstract:

Foxtail millet becomes more and more popular for its rich nutrients, and the grain quality is the key concern that consumers would consider when selecting millet brand. Jingu 21 is an elite cultivar with high edible quality. However, the lack of genomic information impedes studies on the molecular mechanisms of millet quality formation. Here, we re-sequenced the whole genome of Jingu 21 using high-throughput sequencing technology, and obtained 14.95 Gb high quality data. By comparing sequence of Jingu 21 with the reference genome of Yugu 1, we identified 169 037 InDels and 1 167 555 SNPs. Of these InDels, 14 578 could be detected easily by agarose gel electrophoresis. One SNP and 68 InDel markers were selected to verify the polymorphism between Jingu 21 and Yugu 1, showing that the InDel and SNP markers developed by using next generation sequencing technology were reliable. Although the InDel and SNP markers were generated based on genome re-sequencing data of the elite cultivar Jingu 21, they could also be used for research on other foxtail millet, green foxtail, and giant foxtail. Moreover, a specific InDel marker 2G5501976 for Jingu 21 was developed, which could be used to identify Jingu 21 and its derivative varieties. Taken all together, the genomic characterization of Jingu 21 not only lays a foundation for elucidating the molecular mechanisms of high quality formation, but also provides a large number of molecular markers for marker-assisted selection of high quality millet, genetic analysis and map-based cloning.

Key words: foxtail millet, Jingu 21, InDel, SNP, molecular marker, genome re-sequencing

表1

15份谷子种质资源信息"

编号
Code		 名称
Name		 原产地
Origin		 编号
Code		 名称
Name		 原产地
Origin
1 晋谷21 Jingu 21 山西 Shanxi 9 酒谷 Jiugu 河北 Hebei
2 mop1 山西 Shanxi 10 碱谷 Jiangu 内蒙古 Inner Mongolia
3 mop2 山西 Shanxi 11 菠菜腿 Bocaitui 内蒙古 Inner Mongolia
4 青狗尾草 Green foxtail 山西 Shanxi 12 大青谷 Daqinggu 内蒙古 Inner Mongolia
5 谷莠子 Giant foxtail 山西 Shanxi 13 龙谷 Longgu 辽宁 Liaoning
6 豫谷1号 Yugu 1 河南 Henan 14 谷莠天然杂交种 Guyou natural hybrid 北京 Beijing
7 青谷 Qinggu 河南 Henan 15 黄粟 Huangsu 江西 Jiangxi
8 黄大粒 Huangdali 河北 Hebei

表2

晋谷21全基因组测序数据信息汇总"

基本信息
Basic information		 测序数据
Sequencing data
清理后读段Clean reads 83 051 988 bp
清理后碱基Clean bases 14 949 357 840 bp
GC含量GC content 45.55%
Q30值Q30 92.96%
匹配读段Mapped reads 96.16%
1×覆盖度Coverage ratio 1× 95.34%
5×覆盖度Coverage ratio 5× 93.39%
10×覆盖度Coverage ratio 10× 91.54%

图1

晋谷21基因组测序质量评估 A: 碱基质量分布图; B: 测序深度分布曲线; C: 测序文库插入片段大小分布图。"

图2

晋谷21和豫谷1号基因组间的InDel统计正负数分别表示晋谷21基因组中插入(正数)或者缺失(负数)的碱基数。"

图3

InDel标记在晋谷21和豫谷1号的多态性分析 InDel标记详细信息见附表1, 每个分子标记的第1个样品为晋谷21, 第2个样品为豫谷1号。M: D2000 DNA Marker [天根生化科技(北京)有限公司, #MD114]。1~11代表该标记在附表1中的顺序。"

附表1

基于晋谷21基因组重测序的InDel和dCAPS分子标记及其引物"

表3

SNP注释结果"

类型
Type		 数目
Number		 区域
Region
基因内Intergenic 645599 -
基因间Intragenic 76 -
内含子Intron 83293 -
基因上游Upstream 12191 -
基因下游Downstream 336911 -
5′UTR UTR_5′_Prime 1614 -
3′UTR UTR_3′_Prime 3169 -
剪切受体Splice site acceptor 111 -
剪切供体Splice site donor 88 -
起始密码子获得Start gained 831 -
起始密码子丢失Start lost 62 CDS
非同义起始密码子Non synonymous start 9 CDS
同义突变Synonymous coding 21448 CDS
非同义突变Non synonymous coding 27694 CDS
同义终止密码子Synonymous stop 34 CDS
终止密码子获得Stop gained 426 CDS
终止密码子丢失Stop lost 138 CDS
其他Other 33861 -

图4

CAPS标记3G14938250对晋谷21和豫谷1号的多态性分析1: 晋谷21 PCR 扩增产物; 2: 豫谷1号 PCR 扩增产物; 3: 晋谷21 PCR产物的Nde I酶切结果; 4: 豫谷1号PCR 产物Nde I的酶切结果; M: D2000 DNA marker [天根生化科技(北京)有限公司, #MD114]。"

图5

InDel和CAPS标记在15个谷子种质资源的多态性分析 A: InDel标记在15个谷子种质资源的多态性分析; B: CAPS标记在15个谷子种质资源的多态性分析。1~15为谷子种质资源, 详细信息见表1。"

[1] 张超, 张晖, 李冀新. 小米的营养以及应用研究进展. 中国粮油学报, 2007, 22(1): 51-55
doi: 10.3321/j.issn:1003-0174.2007.01.014
Zhang C, Zhang H, Li J X.Advance of millet research on nutrition and application.J Chin Cereals Oils Assoc, 2007, 22(1): 51-55 (in Chinese with English abstract)
doi: 10.3321/j.issn:1003-0174.2007.01.014
[2] 刘敏轩, 陆平. 中国谷子育成品种维生素E 含量分布规律及其与主要农艺性状和类胡萝卜素的相关性分析. 作物学报, 2013, 39: 398-408
doi: 10.3724/SP.J.1006.2013.00398
Liu M X, Lu P.Distribution of vitamin e content and its correlation with agronomic traits and carotenoids content in foxtail millet varieties in China.Acta Agron Sin, 2013, 39: 398-408 (in Chinese with English abstract)
doi: 10.3724/SP.J.1006.2013.00398
[3] Sharma N, Niranjan K.Foxtail millet: properties, processing, health benefits, and uses.Food Rev Int, 2017, 34: 329-363
doi: 10.1080/87559129.2017.1290103
[4] 杨延兵, 管延安, 秦岭, 石慧, 王海莲, 张华文. 不同地区谷子小米黄色素含量与外观品质研究. 中国粮油学报, 2012, 27(1): 14-19
doi: 10.3969/j.issn.1003-0174.2012.01.004
Yang Y B, Guan Y A, Qin L, Shi H, Wang H L, Zhang H W.The studies on yellow pigment content and appearance quality of millet from different regions.J Chin Cereals Oils Assoc, 2012, 27(1): 14-19 (in Chinese with English abstract)
doi: 10.3969/j.issn.1003-0174.2012.01.004
[5] 王润奇, 高俊华, 关中波, 毛丽萍. 谷子几种农艺性状基因染色体定位及连锁关系的初步研究. 作物学报, 2007, 33: 9-14
doi: 10.3321/j.issn:0496-3490.2007.01.002
Wang R Q, Gao J H, Guan Z B, Mao L P.Chromosome location and linkage analysis of a few agronomical important traits in foxtail millet.Acta Agron Sin, 2007, 33: 9-14 (in Chinese with English abstract)
doi: 10.3321/j.issn:0496-3490.2007.01.002
[6] 张耀元, 路阳, 张彬, 禾璐, 刘龙龙, 王兴春, 李红英, 韩渊怀. 谷子类胡萝卜素生物合成途径SiLCYB 基因与米色形成的关系. 分子植物育种, 2016, 14: 1341-1351
Zhang Y Y, Lu Y, Zhang B, He L, Liu L L, Wang X C, Li H Y, Han Y H.The relationship between the gene SiLCYB related to carotenoid synthesis and the colored formation of foxtail millet. Mol Plant Breed, 2016, 14: 1341-1351 (in Chinese with English Abstract)
[7] 刘辉, 张敏. 不同品种小米的直链淀粉含量与快速黏度分析仪谱特征值关系研究. 食品科学, 2010, 31: 31-33
Liu H, Zhang M.Relationships between amylose content and gelatinization characteristics of different varieties of millet.Food Sci, 2010, 31: 31-33 (in Chinese with English abstract)
[8] 张昌泉, 赵冬生, 李钱峰, 顾铭洪, 刘巧泉. 稻米品质性状基因的克隆与功能研究进展. 中国农业科学, 2016, 49: 4267-4283
doi: 10.3864/j.issn.0578-1752.2016.22.002
Zhang C Q, Zhao D S, Li Q F, Gu M H, Liu Q Q.Progresses in research on cloning and functional analysis of key genes involving in rice grain quality.Sci Agric Sin. 2016, 49: 4267-4283 (in Chinese with English abstract)
doi: 10.3864/j.issn.0578-1752.2016.22.002
[9] He L, Zhang B, Wang X, Li H Y, Han Y H.Foxtail millet: nutritional and eating quality, and prospects for genetic improvement.Front Agric Sci Eng, 2015, 2: 124-133
doi: 10.15302/J-FASE-2015054
[10] Bennetzen J L, Schmutz J, Wang H, Percifield R, Hawkins J, Pontaroli A C, Estep M, Feng L, Vaughn J N, Grimwood J, Jenkins J, Barry K, Lindquist E, Hellsten U, Deshpande S, Wang X, Wu X, Mitros T, Triplett J, Yang X, Ye C Y, Mauro-Herrera M, Wang L, Li P, Sharma M, Sharma R, Ronald P C, Panaud O, Kellogg E A, Brutnell T P, Doust A N, Tuskan G A, Rokhsar D, Devos K M.Reference genome sequence of the model plant Setaria. Nat Biotechnol, 2012, 30: 555-561
doi: 10.1038/nbt.2196 pmid: 22580951
[11] Quan Z W, Cheng S F, Xu X, Pan S K, Xie M, Zeng P, Yue Z, Wang W L, Tao Y, Bian C L, Han C L, Xia Q J, Peng X H, Cao R, Yang X H, Zhan D L, Hu J C, Zhang Y X, Li H N, Li H, Li N, Wang J Y, Wang C C, Wang R Y, Guo T, Cai Y J, Liu C Z, Xiang H T, Shi Q H, Huang P, Chen Q C, Li Y R, Wang J, Zhao Z H, Wang J.Genome sequence of foxtail millet (Setaria italica) provides insights into grass evolution and biofuel potential. Nat Biotechnol, 2012, 30: 549-554
[12] Zhang S, Tang C, Zhao Q, Li J, Yang L, Qie L, Fan X, Li L, Zhang N, Zhao M, Liu X, Chai Y, Zhang X, Wang H, Li Y, Li W, Zhi H, Jia G, Diao X.Development of highly polymorphic simple sequence repeat markers using genome-wide microsatellite variant analysis in Foxtail millet [Setaria italica(L.) P. Beauv]. BMC Genomics, 2014, 15: 78
doi: 10.1186/1471-2164-15-78 pmid: 3930901
[13] Fang X, Dong K, Wang X, Liu T, He J, Ren R, Zhang L, Liu R, Liu X, Li M, Huang M, Zhang Z, Yang T.A high density genetic map and QTL for agronomic and yield traits in Foxtail millet [Setaria italica(L.) P. Beauv]. BMC Genomics, 2016, 17: 336
doi: 10.1186/s12864-016-2628-z pmid: 4857278
[14] Venkata S B, Muthamilarasan M, Misra G, Prasad M.FmMDb: a versatile database of foxtail millet markers for millets and bioenergy grasses research.PLoS One, 2013, 8: e71418
doi: 10.1371/journal.pone.0071418 pmid: 3741111
[15] Yadav C B, Bonthala V S, Muthamilarasan M, Pandey G, Khan Y, Prasad M.Genome-wide development of transposable elements- based markers in foxtail millet and construction of an integrated database.DNA Res, 2015, 22: 79-90
doi: 10.1093/dnares/dsu039 pmid: 4379977
[16] Bai H, Cao Y, Quan J, Dong L, Li Z, Zhu Y, Zhu L, Dong Z, Li D.Identifying the genome-wide sequence variations and developing new molecular markers for genetics research by re-sequencing a Landrace cultivar of foxtail millet.PLoS One, 2013, 8: e73514
doi: 10.1371/journal.pone.0073514 pmid: 3769310
[17] Wang J, Wang Z, Du X, Yang H, Han F, Han Y, Yuan F, Zhang L, Peng S, Guo E.A high-density genetic map and QTL analysis of agronomic traits in foxtail millet [Setaria italica(L.) P. Beauv.] using RAD-seq. PLoS One, 2017, 12: e0179717
doi: 10.1371/journal.pone.0179717 pmid: 5482450
[18] Jia G Q, Huang X H, Zhi H, Zhao Y, Zhao Q, Li W J, Chai Y, Yang L F, Liu K Y, Lu H Y, Zhu C R, Lu Y Q, Zhou C C, Fan D, Weng Q J, Guo Y L, Huang T, Zhang L, Lu T T, Feng Q, Hao H F, Liu H K, Lu P, Zhang N, Li Y H, Guo E H, Wang S J, Wang S Y, Liu J R, Zhang W F, Chen G Q, Zhang B J, Li W, Wang Y F, Li H Q, Zhao B H, Li J Y, Diao X M, Han B.A haplotype map of genomic variations and genome-wide association studies of agronomic traits in foxtail millet (Setaria italica). Nat Genet, 2013, 45: 957-961
doi: 10.1038/ng.2673 pmid: 23793027
[19] 陈瑛, 卫天业, 景小兰, 张象贤. 晋谷21号的选育及推广前景. 山西农业科学, 1992, (12): 7-8
Chen Y, Wei T Y, Jing X L, Zhang X X.Breeding and popularization prospect of Jingu 21.J Shanxi Agric Sci, 1992, (12): 7-8 (in Chinese without English abstract)
[20] 穆彩琴, 张瑞娟, 屈聪玲, 韩渊怀, 王兴春, 杨致荣. 基于RNA-Seq技术的谷子新基因发掘及基因结构优化. 植物生理学报, 2016, 52: 1066-1072
Mu C Q, Zhang R J, Qu C L, Han Y H, Wang X C, Yang Z R.Identifi cation of novel genes and optimization of annotated genes in foxtail millet by RNA-Seq technology.Plant Physiol J, 2016, 52: 1066-1072 (in Chinese with English abstract)
[21] Stewart C N J, Via L E. A rapid CTAB DNA isolation technique useful for RAPD fingerprinting and other PCR applications.BioTechniques, 1993, 14: 748-750
[22] Li H, Durbin R.Fast and accurate short read alignment with Burrows-Wheeler transform.Bioinformatics, 2009, 25: 1754-1760
doi: 10.1093/bioinformatics/btp324
[23] McKenna A, Hanna M, Banks E, Sivachenko A, Cibulskis K, Kernytsky A, Garimella K, Altshuler D, Gabriel S, Daly M, DePristo M A. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.Genome Res, 2010, 20: 1297-1303
doi: 10.1101/gr.107524.110
[24] Neff M M, Turk E, Kalishman M.Web-based primer design for single nucleotide polymorphism analysis.Trends Genet, 2002, 18: 613-615
doi: 10.1016/S0168-9525(02)02820-2
[25] Cingolani P, Platts A, Wang L, Coon M, Nguyen T, Wang L, Land S J, Lu X, Ruden D M.A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3.Fly (Austin), 2012, 6: 80-92
doi: 10.4161/fly.19695
[26] Liu B, Wang Y, Zhai W, Deng J, Wang H, Cui Y, Cheng F, Wang X, Wu J.Development of InDel markers for Brassica rapa based on whole-genome re-sequencing. Theor Appl Genet, 2013, 126: 231-239
doi: 10.1007/s00122-012-1976-6 pmid: 22972202
[27] 张体付, 戚维聪, 顾闽峰, 张晓林, 李坦, 赵涵. 藜麦EST-SSR 的开发及通用性分析. 作物学报, 2016, 42: 492-500
doi: 10.3724/SP.J.1006.2016.00492
Zhang T F, Qi W C, Gu M F, Zhang X L, Li T, Zhao H.Exploration and transferability evaluation of EST-SSRs in quinoa.Acta Agron Sin, 2016, 42: 492-500 (in Chinese with English abstract)
doi: 10.3724/SP.J.1006.2016.00492
[28] Ul Haq S, Kumar P, Singh R K, Verma K S, Bhatt R, Sharma M, Kachhwaha S, Kothari S L.Assessment of functional EST-SSR markers (sugarcane) in cross-species transferability, genetic diversity among poaceae plants, and bulk segregation analysis.Genet Res Int, 2016, doi: 10.1155/2016/7052323:7052323
doi: 10.1155/2016/7052323 pmid: 4908241
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